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智库咨政报告的选型方向、选题策略与萃取路径
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作者 周湘智 《图书情报工作》 CSSCI 北大核心 2024年第19期29-39,共11页
[目的 /意义]系统探索和梳理智库研究规律,构建我国智库研究自主知识体系,是中国特色新型智库建设的重要组成部分。围绕智库研究选型、选题与选育,系统总结咨政报告选型序列,揭示选题规律、构建选育路径,已具备基础条件,具有重要意义。... [目的 /意义]系统探索和梳理智库研究规律,构建我国智库研究自主知识体系,是中国特色新型智库建设的重要组成部分。围绕智库研究选型、选题与选育,系统总结咨政报告选型序列,揭示选题规律、构建选育路径,已具备基础条件,具有重要意义。[方法 /过程]基于“中层理论”范式,以我国智库咨政服务实践探索与成功做法为基础,系统总结凝练中国特色新型智库咨政报告的选型方向、选题策略与萃取路径,补齐我国智库学体系的一个功能模块。[结果 /结论 ]智库咨政报告的选型主要集中在9大类、36小类矩阵上,选题可采取12种策略,主题萃取可依循5个主路径、26个支路径,选型方向、选题策略与萃取路径三位一体,表征了智库研究精准选题的方向、内容与来源,构成了高能级智库咨政辅政前置要件,是中国特色新型智库技术体系与工具箱的重要内容。 展开更多
关键词 智库研究 选型方向 选题策略 萃取路径
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Road network extraction in classified SAR images using genetic algorithm
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作者 肖志强 鲍光淑 蒋晓确 《Journal of Central South University of Technology》 2004年第2期180-184,共5页
Due to the complicated background of objectives and speckle noise, it is almost impossible to extract roads directly from original synthetic aperture radar(SAR) images. A method is proposed for extraction of road netw... Due to the complicated background of objectives and speckle noise, it is almost impossible to extract roads directly from original synthetic aperture radar(SAR) images. A method is proposed for extraction of road network from high-resolution SAR image. Firstly, fuzzy C means is used to classify the filtered SAR image unsupervisedly, and the road pixels are isolated from the image to simplify the extraction of road network. Secondly, according to the features of roads and the membership of pixels to roads, a road model is constructed, which can reduce the extraction of road network to searching globally optimization continuous curves which pass some seed points. Finally, regarding the curves as individuals and coding a chromosome using integer code of variance relative to coordinates, the genetic operations are used to search global optimization roads. The experimental results show that the algorithm can effectively extract road network from high-resolution SAR images. 展开更多
关键词 genetic algorithm road network extraction SAR image fuzzy C means
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